Performance Analysis for ROUGE And F-Measure in Arabic Text Summarization

Authors

  • Hawraa Ali Taher Department of Computer Science, Faculty of Education for Girls, University of Kufa, Najaf, Iraq https://orcid.org/0000-0003-3375-3677
  • Hasanain Ali Hussein University of Kufa-Information Technology Research and Development Center, Iraq
  • Sabah Khudhair Abbas College of Imam Kadhim for Islamic Sciences University, Iraq

Keywords:

Arabic Language, text summarization, ROUGE, F-measure, preprocessing

Abstract

Summarizing a document has become a necessity as, because so much information is produced every day. Document summary makes it simpler to understand the text document than it would be to read through a collection of documents. A foundation for creating an  condensed version of one or more text documents is provided by text summary. It is a crucial method for finding pertinent information on the Internet or in sizable text libraries. Additionally, it is essential to extract data in a way that the user would find the information interesting. Extractive summarization and abstract summarization are the two basic approaches used for text summarizing. In order to create the summary, the extractive summarization method chooses the sentences from a Word document and arranges them according to their weight. Abstractive summarizing is a technique that takes the key ideas from a document's content and expresses them abstractly in plain English. Numerous summary methods have been created on the foundation of these two approaches. There are numerous techniques that are language-specific exclusively. In this paper, we used extractive summarization methods and got good results.

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Generalized structure of text summarization

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Published

17.02.2023

How to Cite

Ali Taher, H. ., Ali Hussein, H. ., & Khudhair Abbas, S. . (2023). Performance Analysis for ROUGE And F-Measure in Arabic Text Summarization . International Journal of Intelligent Systems and Applications in Engineering, 11(2), 40–45. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2593

Issue

Vol. 11 No. 2 (2023)

Section

Research Article

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